- Open Discord client, press
Ctrl + Shift + Ito open DevTools (Discord client only, Browser is not supported) - Go to Console tab
- Type
allow pastingand press Enter - Paste the snippet below and press Enter
Discover gists
| // ==UserScript== | |
| // @name YouTube & YouTube Music Adblock (API Interceptor) | |
| // @namespace http://tampermonkey.net/ | |
| // @version 6.0 | |
| // @description Bloqueia anúncios na raiz (nível de API/Rede) no YouTube e YouTube Music, como o uBlock Origin | |
| // @author Anton / Enhanced | |
| // @match *://*.youtube.com/* | |
| // @match *://music.youtube.com/* | |
| // @exclude *://accounts.youtube.com/* | |
| // @exclude *://www.youtube.com/live_chat_replay* |
| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
Main session runs on a Claude model. Delegate with the Agent tool and pick by this table (higher is better; cost = how cheap it actually is for this user, not list price).
| route | how | cost | intelligence | taste | use for |
|---|---|---|---|---|---|
| fable | Agent model: fable | 2 | 10 | 9 | hardest reasoning, architecture, final review |
| opus | Agent model: opus | 4 | 8 | 8 | user-facing output: UI, copy, API design (taste ≥ 7) |
| sonnet | Agent model: sonnet | 6 | 6 | 7 | errands, browser/computer use, medium tasks |
One shell script that makes a rooted LG webOS TV lighter and quieter:
- hides bloat tiles and background apps from the launcher
- stops preloading apps the TV keeps in RAM whether or not you open them
- turns off home-screen promotions, promo videos, sports alerts, content recommendations and Live Plus (ACR)
Nothing is deleted and the root filesystem is never touched. It only edits
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
